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Python Machine Learning Entry Level Jobs in Illinois

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... Proficiency in Python, C++, or similar languages for tooling, testing, and simulation * Strong ...

The Hartford

AI Machine Learning Engineer

Chicago, IL · Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps ... Python Exposure to with workflow automation platforms (Apache Airflow, Autosys, similar) Basic ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... Proficiency in Python, C++, or similar languages for tooling, testing, and simulation * Strong ...

Varsity Tutors

Python Tutor

Schaumburg, IL · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Python Tutor

Naperville, IL · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Python Tutor

Normal, IL · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Python Tutor

Oak Lawn, IL · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

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All JobsPython Machine Learning JobsPython Machine Learning Entry Level JobsPython Machine Learning Entry Level Jobs in Illinois

Python Machine Learning Entry Level information

What is the difference between Python Machine Learning Entry Level vs Data Analyst Entry Level?

AspectPython Machine Learning Entry LevelData Analyst Entry Level
Required SkillsPython, machine learning libraries, basic statisticsExcel, SQL, data visualization tools
CertificationsPython programming, machine learning coursesData analysis certifications, Excel/SQL courses
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Job FocusDeveloping ML models, data preprocessingData cleaning, reporting, insights generation

While both roles involve working with data, Python Machine Learning Entry Level focuses on building machine learning models using Python, whereas Data Analyst Entry Level emphasizes data cleaning, analysis, and reporting using tools like Excel and SQL. Both roles require analytical skills, but Python ML roles demand programming and machine learning knowledge, making them more technical.

What types of projects can I expect to work on as an entry-level Python Machine Learning professional?

As an entry-level Python Machine Learning professional, you will typically work on projects such as data preprocessing, implementing and tuning basic machine learning models, and assisting with feature engineering. You may also be involved in data collection, cleaning, and visualization tasks to support more senior team members. Collaboration is common; you’ll often work closely with data scientists, engineers, and sometimes product managers to deliver actionable insights or build prototype models. This hands-on experience is valuable for building your technical foundation and understanding real-world machine learning workflows.

What are Python Machine Learning Entry Level jobs?

Python Machine Learning Entry Level jobs are positions designed for individuals who are new to the field of machine learning and have foundational programming skills in Python. These roles typically involve tasks such as data preprocessing, implementing basic machine learning algorithms, and assisting with model evaluation and deployment. Entry-level positions often require a basic understanding of statistics, data analysis, and libraries like scikit-learn, pandas, and NumPy. They provide an opportunity to gain hands-on experience while working under the guidance of more experienced data scientists or machine learning engineers.

What are the key skills and qualifications needed to thrive as an Entry Level Python Machine Learning Engineer, and why are they important?

To thrive as an Entry Level Python Machine Learning Engineer, you need a solid understanding of Python programming, foundational machine learning concepts, and a relevant degree in computer science, statistics, or a related field. Familiarity with tools and libraries such as scikit-learn, TensorFlow, Pandas, and Jupyter Notebooks is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret data and collaborate with technical teams. These skills are crucial for efficiently developing, implementing, and explaining machine learning solutions that meet organizational goals.
What are the most commonly searched types of Python Machine Learning jobs in Illinois? The most popular types of Python Machine Learning jobs in Illinois are:
What are popular job titles related to Python Machine Learning Entry Level jobs in Illinois? For Python Machine Learning Entry Level jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Python Machine Learning Entry Level jobs in Illinois look for? The top searched job categories for Python Machine Learning Entry Level jobs in Illinois are:
Python Machine Learning Entry Level jobs near you
Infographic showing various Python Machine Learning Entry Level job openings in Illinois as of July 2026, with employment types broken down into 3% Internship, 83% Full Time, 6% Part Time, 3% Temporary, and 5% Contract. Highlights an 94% In-person, and 6% Remote job distribution.

Quantum Software Engineer - Machine Learning

Infleqtion

Chicago, IL • On-site

$100/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking a Quantum Software Engineer with expertise in quantum-inspired classical machine learning and quantum machine learning (QML). This role will focus on developing advanced ML models and algorithms that leverage tensor networks and related structured representations, supporting applications across quantum computing and quantum sensing platforms.
As a member of the Quantum Software division, you will work closely with teams spanning quantum computing and sensing hardware and algorithms to design scalable learning architectures that operate in hybrid classical-quantum workflows. The ideal candidate brings strong foundations in machine learning and mathematical physics, along with hands-on experience developing novel model architectures for structured, high-dimensional data.
This position offers the opportunity to contribute to next-generation ML techniques that bridge classical and quantum paradigms for real-world deployment.
Job Responsibilities
The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned:
  • Develop and implement quantum-inspired machine learning models, including tensor network-based architectures (e.g., MPS/TTN/PEPS-inspired models) for structured data analysis
  • Design and evaluate quantum machine learning algorithms suitable for near-term and fault-tolerant quantum computers
  • Build hybrid classical-quantum workflows integrating classical ML pipelines with quantum processors and/or quantum sensors
  • Develop ML models for signal processing, state estimation, calibration, and noise mitigation in quantum sensing systems
  • Collaborate with hardware and experimental teams to translate physical system characteristics into learning-based models
  • Optimize models for performance, scalability, and deployment in HPC and low-SWaP environments
  • Stay current with emerging research in tensor networks, quantum information science, and advanced ML architectures
  • Contribute to research publications, technical reports, and conference presentations
  • Provide technical mentorship and contribute to a collaborative, interdisciplinary research environment

Requirements
Required Qualifications
  • BS or MS in Computer Science, Physics, Applied Mathematics, Electrical Engineering, or a closely related field
  • Strong experience developing, training, and optimizing machine learning models
  • Demonstrated experience with tensor networks, structured linear algebra, or physics-informed ML architectures
  • Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX, TensorFlow)
  • Experience working in scientific computing and HPC environments leveraging GPU acceleration
  • Strong mathematical foundation in linear algebra, probability, and optimization
  • Ability to communicate complex theoretical and experimental concepts clearly across teams and to external customers
  • Demonstrated ability to work effectively in a collaborative, cross-functional, and fast-paced R&D environment
  • Resourceful problem-solver with a track record of delivering research ideas into prototype or production systems
  • Willingness to travel domestically and potentially internationally up to 10%

Preferred Qualifications
  • Ph.D. in Computer Science, Physics, Applied Mathematics, or a related field
  • Research experience in quantum machine learning and/or quantum information science
  • Experience implementing variational quantum algorithms, parameterized quantum circuits, or quantum kernel methods
  • Experience developing tensor network algorithms for large-scale modeling or simulation
  • Familiarity with quantum SDKs (e.g., Qiskit, Cirq, Braket, PennyLane)
  • Strong publication record in machine learning, quantum computing, or computational physics
  • Experience working with quantum sensor data or quantum hardware calibration workflows

Benefits
  • Salary range: $135,000 to $160,000
  • 100% company-paid medical, dental, vision, short/long-term disability
  • Employer-funded Health Savings Account
  • Unlimited PTO
  • 401(k) match
  • Company-paid Life and AD&D Insurance
  • Flexible Savings Account
  • Paid FMLA, Maternity/Paternity Leave
  • Employee Assistance Program
  • Student Loan Repayment
  • Equity Program

Apply